Analysis and Performance Evaluation of the Position Control of an AC Motor Using PD-PI-PID Fuzzy Logic Controller

Abstract

Aims: This paper presents an analysis and performance evaluation of the position control of an AC motor. Study Design: Mathematical model which represents the position control of an AC motor is used in this Paper, where is obtained from experimental data of the AC motor. Place and Duration of Study: Computer and software engineering department, collage of engineering, Diyala University-Iraq between October 2011 and June 2012. Methodology: Different types of controllers are used to analyze and evaluate the performance of the position control of AC motor. Classical Proportional- Integral-Derivative CPID, Fuzzy-like Proportional-Derivative (FPD), Fuzzy-like Proportional-Integral (FPI) and Fuzzy-like Proportional- Integral-Derivative (FPID) are used for the purpose of this paper. Results: For classical controllers, the rising time was decreased with most types, classical Ziegler-Nichols is used to tune the CPID parameters. The effective values of Kp are from 4.2 to 14.4, where the overshoot is increased from 0.2 to 0.5 and the steady state error is decreased from 2.5 to 2. The response performance of the system is improved with the fuzzy controllers’ types. FPD eliminates the overshoot with small change on the error where the FPD with three Membership Function (3FPD) versions I is 0.005 and with 3FPD version II is zero overshoot, while the steady state error is zero in both versions of 3FPD. Fuzzy PD with 5 MSF (5FPD) has zero overshoot with steady state error equal to 0.005 and faster system response. Conclusion: Fuzzy PD with 8 MSF (8FPD) provides system response with zero overshoot versus big error bigger than 0.5 and slower system response due to the huge number of rules where was 64 fuzzy rules. Fuzzy PI with 5 MSF (5FPI) eliminates the error but with big overshoot equal to 0.2. FPID got the better response performance of the control system but slower than FPD.